R Basics

📊 Welcome to R Basics! Whether you’re new to coding or brushing up on the essentials, this section will help you get comfortable writing R code and thinking like a Data Scientist. You’ll explore fundamental topics like Data Types, Variables, and Data Structures—everything you need to start analyzing data with confidence. Let’s get started!

Summary Table

Summary of the R Basics section.

Concept	Example	Description
numeric / double	3.14, 10	Numbers (with or without decimals), stored as double
integer	10L	Whole numbers with L suffix
character	"GW"	Text (strings)
logical	TRUE, FALSE	Boolean values
raw	charToRaw("Tyler")	Binary data in raw byte format
NULL	NULL	Represents no value
Assignment	x <- 10, y = 3.14	Assign value to a variable
Naming	value, .value, Value	Variable names must follow rules and are case-sensitive
Reassignment	x <- x + 1	Update variable value
Multiple Assignment	a <- b <- c <- 0	Assign same value to multiple variables
Dynamic Typing	x <- 5 then x <- "five"	Variables can change type
vector	c(95, 88, 90)	One-dimensional, same type
list	list(name = "Intro", code = 6101)	Collection of different types
matrix	matrix(c(1, 2, 3, 4), nrow = 2)	2D, same type structure
data.frame	data.frame(name = "Alice", score = 95)	Tabular structure with columns of possibly mixed types
factor	factor(c("male", "female"))	Categorical data with levels